Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-27 00:42 UTC
ajokela / ballistics-engine-py
Python bindings for ballistics-engine - High-performance ballistics trajectory calculations
ajokela/ballistics-engine-py holds a health index of 53 out of 100, placing it in the Moderate band. It scores highest on Vitality (77/100) and lowest on Community & Adoption (24/100). It was last updated today. A single contributor accounts for most of its recent work.
53
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
53
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Alex JokelaPersonal account
17 followers166 public repossince Sep 2011@mrets
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | ballistics-engine | 0.30.0 | - | 30 | 0 days ago | ballisticstrajectoryphysicssimulation |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
77
Development activity
68Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 6.9/36 | Commit cadence — 10/52 weeks with commits |
| 15/18 | Commit volume — 46 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 46 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 10 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 28 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~1.5 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 28 |
| latest_release_tag | v0.30.0 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1.5 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
24
Popularity & adoption
1Critical
How it's scored
| 0/60 | Stars — 0 stars |
| 0/25 | Forks — 0 forks |
| 0/15 | Watchers — 0 watchers |
Inputs used
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
56
Maintainer resilience (bus factor)
13Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0/22.5 | Commit distribution — top contributor authored 100% of commits |
| 1.4/13.5 | Contributor breadth — 1 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
How it's scored
| 0/46.8 | Issue resolution — no issues or no data |
| 38.2/38.3 | PR acceptance — 1/1 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 1 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
Ownership & stewardship
55Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 9/25 | Owner reach — 17 followers of ajokela |
| 25/25 | Track record — 166 public repos, account ~14 yr old |
Inputs used
| followers | 17 |
| owner_type | User |
| is_verified | — |
| owner_login | ajokela |
| public_repos | 166 |
| account_age_days | 5,425 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 30 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | ballistics-engine |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
56
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
50Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
44
Security posture
44At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.4 |
Excluded from scoring (no data or not applicable): ci_tests, packaging. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
52
Agent context & guidance
37At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 37.4/40 | Legible commit history — 33 of 47 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.702 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 12.6/18 | One-command bootstrap — Cargo.toml (toolchain convention, no task runner) |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — Rust (statically typed) |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 47 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | Cargo.toml |
| dependency_bot_commit_share | 0 |
Code legibility for models
100Excellent
How it's scored
| 45/45 | Type-checkable code — Rust (statically typed) |
| 55/55 | Manageable file sizes — 0/9 source files over 60KB |
Inputs used
| primary_language | Rust |
| largest_source_bytes | 26,598 |
| source_files_sampled | 9 |
| oversized_source_files | 0 |
Key facts
0GitHub stars
1contributors
46commits, last 12 months
0days since last push
28releases
1bus factor
0open issues
crates.io, PyPIpackage ecosystems
Data collection warnings
- Could not fetch crates package 'ballistics-engine-py' from its registry
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:ballistics-engine@0.30.0; advisories assessed against the repository dependency graph instead
More detail
OpenSSF Scorecard 4.4 / 10
4.4aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| crates.io | ballistics-engine | 0.30.0 | Cargo.toml |
| crates.io | pyo3 | 0.26 | Cargo.toml |
| crates.io | numpy | 0.26 | Cargo.toml |
| crates.io | nalgebra | 0.35 | Cargo.toml |
| crates.io | rayon | 1.10 | Cargo.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Raw JSON report machine-readable
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"headline": "Bump ballistics-engine to 0.27.0",
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"headline": "Bump to 0.26.0 (engine 0.26.0); migrate derivatives wind path to Wind…",
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"oid": "f5c3980404d11e60ab633ddaef08d1f1e68e9dd8",
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"headline": "Bump to 0.25.0 (engine 0.25.0: integration-divergence guard MBA-1293,…",
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"oid": "f5673b10bae5578b63f2ecb9226810177ba1330a",
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"oid": "20addc7a2b1494218f80d935a8b1a30e267b9490",
"body": "Add use_full_solver kwarg to monte_carlo_parallel so each Monte Carlo\nsample can be evaluated through the full ballistics_engine::TrajectorySolver\n(same solver /v1/calculate uses) instead of the lean\nsolve_trajectory_for_monte_carlo kernel, closing the cross-solver\ndivergence between the two paths. \n[…]\nthe 20s absolute budget but over the 3x relative\nbudget), so use_full_solver defaults to false pending further tuning;\nopt in explicitly. See perf_mba1295_phase3.py for the benchmark.\n\nBump to 0.24.2.",
"is_bot": false,
"headline": "MBA-1295 Phase 3: full TrajectorySolver option for monte_carlo_parallel",
"author_name": "Alex Jokela",
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"oid": "5ccd6d00d855186814efad5c5e845a39242afb1a",
"body": "Review fixes on the Phase 1 branch:\n\n- monte_carlo_parallel: explicitly zero sight_height/muzzle_height/\n target_height at the mc_inputs_to_si boundary. The shared parser now\n reads these from the dict, but the engine's\n solve_trajectory_for_monte_carlo computes\n drop = (muzzle_height + sight_he\n[…]\nressed it to 0.0).\n- Two locking tests:\n test_from_dict_missing_sight_height_defaults_to_1_5_inches and\n test_monte_carlo_parallel_drop_is_bore_relative (fails if\n sight_height leaks into MC drop).",
"is_bot": false,
"headline": "MBA-1295: keep MC drop bore-relative; restore 1.5in sight_height default",
"author_name": "Alex Jokela",
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"body": "Unify PyBallisticInputs::from_dict and the fast path (fast_integrate /\ncalculate_zero_angle / monte_carlo_parallel) onto one shared rich dict\nparser (src/inputs.rs), extended with cant angle, trajectory sampling,\nintegrator selection, sight/muzzle/target heights, and a validated\ncustom drag table. P\n[…]\nccept JSON-shaped\n list-of-lists, not just Python tuples.\n\nBump crate version to 0.24.1; ballistics-engine dependency stays\npinned at 0.24.0. Adds test_mba1295.py covering the new surface\nend to end.",
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"headline": "MBA-1295: extend the Python binding for full TrajectorySolver access",
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"body": "Engine 0.24.0 converts wind segments from (f64, f64, f64) tuples to a\nnamed WindSegment struct on WindSock, TrajectorySolver::set_wind_segments,\nand fast_integrate_with_segments. Keep the Python-facing fast_integrate/\nderivatives signatures as Vec<(f64, f64, f64)> and convert to WindSegment\nat the boundary via WindSegment::new. Also fills the new\nWindConditions::vertical_speed field (default 0.0) at both call sites\nthat construct it, since PyWindConditions has no vertical-wind input yet.",
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"headline": "Bump to 0.24.0 (engine 0.24.0: WindSegment struct boundary)",
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"headline": "Bump to 0.23.0 (engine 0.23.0: custom drag tables, canted rifle, movi…",
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"headline": "fix(MBA-1164): convert wind shear segments to m/s",
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"headline": "fix: read wheel version dynamically from Cargo.toml (PyPI was frozen …",
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"headline": "feat: expose per-zone atmosphere on fast_integrate (MBA-1137); pin en…",
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"headline": "Fix build against ballistics-engine 0.22.9: nalgebra 0.35 + fill new …",
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"body": "Engine 0.21.4: adversarial-hunt CLI/correctness fixes (MBA-960..970) including\nmetric atmosphere defaults, JSON unit honoring, powder sensitivity wiring, RK45\nmax-range interpolation, wind-shear model plumbing.",
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"headline": "Bump to 0.21.3 (engine 0.21.3)",
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"body": "Reads enable_coriolis from the inputs dict (default = derived from advanced effects +\nlatitude) so callers can request Coriolis without spin/Magnus, matching the engine's\n0.21.2 decouple. Bumps engine dependency + binding to 0.21.2.",
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"body": "Reads a shot_direction key (degrees, 0=N) from the inputs dict into shot_azimuth so\nthe Eotvos/directional Coriolis fixed in engine 0.21.1 is reachable from Python. Bumps\nthe engine dependency + binding to 0.21.1.",
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"body": "Bumps the engine dependency 0.18.3 -> 0.21.0 (catching up across 0.19/0.20/0.21)\nand the binding version to 0.21.0. The only API change requiring a code update is\nthe new BallisticInputs.shot_azimuth field (engine 0.21.0 Coriolis bearing); the\nfast/MC path the binding uses is North-locked, so it is set to 0.0.",
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"headline": "Update to ballistics-engine 0.21.0; add shot_azimuth field",
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"body": "Update ballistics-engine to 0.18.3, which applies aerodynamic jump in\nfast_trajectory::fast_integrate — the path this binding's fast_integrate uses. The\nbinding already forwards enable_aerodynamic_jump, so no code change is needed; the\nflag now takes effect on the fast path.",
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"headline": "Bump to 0.18.3 (engine fast-path aerodynamic jump)",
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"body": "Update ballistics-engine dependency to 0.18.2 and surface the new opt-in\naerodynamic_jump flag through the fast-path input mapping\n(enable_aerodynamic_jump kwarg, default false).",
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"headline": "Bump to 0.18.2; expose enable_aerodynamic_jump",
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"body": "…, zero-angle, drag/atmosphere/stability) (#1)\n\n* Add BallisticInputs.from_dict + fast_integrate keystone\n\nKeystone for migrating the ballistics Flask app off its bespoke\nballistics_rust wrapper onto this binding (no new engine physics needed):\n\n- fast::ballistic_inputs_from_dict: full-fidelity dict\n[…]\n, m).\n\nValidated byte-identical to ballistics_rust@0.17.0 across the previously\ndivergent paths: effects-on derivatives (Magnus), bc_segments, zero-angle\nat range, and Monte Carlo (drop_m gap closed).",
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"headline": "Enable pyo3 generate-import-lib for Windows cross-compilation",
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"body": "- Track ballistics-engine 0.17.0 (SI unification, altitude-driven\n station pressure and lapse-rate temperature).\n- Upgrade PyO3 to 0.26 and build abi3 wheels (abi3-py38). This fixes a\n segfault when constructing TrajectorySolver on Python 3.14: PyO3 0.22\n did not support 3.14 and its abi3 forward-compat corrupted memory for\n the large pyclass. A single abi3 wheel now covers CPython 3.8-3.14.",
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"points": 0,
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},
{
"key": "editorconfig",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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"homepage": null,
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},
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{
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},
{
"key": "documentation_directory",
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"details": [],
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},
{
"key": "documentation_homepage_site",
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},
{
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},
{
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{
"key": "wiki",
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}
]
}
],
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},
{
"key": "security",
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"metrics": [
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"code": "excluded_no_data",
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},
{
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}
],
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"scorecard_version": "v5.5.0",
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},
"components": [
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"status": "met",
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},
{
"key": "branch_protection",
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"points": 0,
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},
{
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{
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"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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"points": 0,
"status": "missed",
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},
{
"key": "contributors",
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"status": "partial",
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},
{
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},
{
"key": "dependency_update_tool",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
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"points": 2.5,
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"details": [],
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},
{
"key": "maintained",
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "packaging",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
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"detail": "no SAST tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
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"points": 7.5,
"status": "met",
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"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
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"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"components": [
{
"key": "policy_exposure_multiplier",
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"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
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},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 52,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 37,
"inputs": {
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"legible_history_share": 0.702,
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"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 37.4,
"status": "partial",
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"code": "legible_history",
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}
}
],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"note": null,
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"has_tests": true,
"lockfiles": [],
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{
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"status": "partial",
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"code": "toolchain_convention",
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],
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},
{
"key": "automated_tests",
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"points": 22,
"status": "met",
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"max_points": 22
},
{
"key": "lint_format_config",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": "Rust (statically typed)",
"points": 11,
"status": "met",
"details": [
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{
"key": "reproducible_environment",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
"details": [
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"params": {
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
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"code": "no_dependency_automation",
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],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 0,
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},
{
"key": "ai_code_legibility",
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},
{
"key": "manageable_file_sizes",
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"points": 55,
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}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Could not fetch crates package 'ballistics-engine-py' from its registry",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
"deps.dev does not index pypi:ballistics-engine@0.30.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-07-27T00:42:16.807939Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ajokela/ballistics-engine-py.svg",
"full_name": "ajokela/ballistics-engine-py",
"license_state": "standard",
"license_spdx": "MIT"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.